Results 141 to 150 of about 1,688,491 (311)

Non‐linear phylogenetic regression using regularised kernels

Methods in Ecology and Evolution
Phylogenetic regression is a type of generalised least squares (GLS) method that incorporates a modelled covariance matrix based on the evolutionary relationships between species (i.e. phylogenetic relationships).
Ulises Rosas‐Puchuri, Aintzane Santaquiteria, Sina Khanmohammadi, Claudia Solís‐Lemus, Ricardo Betancur‐R   +4 more
doaj   +1 more source

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source

Identifying gene expression signatures for risk stratification of postoperative adjuvant chemotherapy in colorectal cancer

FEBS Open Bio, EarlyView.
A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo, Keisuke Okuno, Shuichi Watanabe, Sakiko Oba, Hiroyasu Kagawa, Masanori Tokunaga, Daisuke Ban, Yusuke Kinugasa   +7 more
wiley   +1 more source

Post-l1-penalized estimators in high-dimensional linear regression models [PDF]

In this paper we study post-penalized estimators which apply ordinary, unpenalized linear regression to the model selected by first-step penalized estimators, typically LASSO. It is well known that LASSO can estimate the regression function at nearly the
Victor Chernozhukov, Alexandre Belloni
core  

Identifying transcription factors controlling the basal expression of human MRP4 highlights a substantial role for Sp1

FEBS Open Bio, EarlyView.
The MRP4 transporter exports several drugs and signaling molecules. Here, we identified key promoter elements regulating basal MRP4 expression. Using reporter assays, we defined a conserved region with essential Sp1 and contributory Ets sites, which controlled basal MRP4 expression.
Debora Singer, Angelique Kragl, Katrin Ziems, Juliane Glaubitz, Sophie Grammbauer, Susanne Hildebrandt, Mladen V. Tzvetkov, Gabriele Jedlitschky   +7 more
wiley   +1 more source

Application of Local Influence Diagnostics to the Linear Logistic Regression Models [PDF]

This paper focuses the development of the diagnostics for the perturbations of case-weights and explanatory variables (one or more) in a linear logistic regression model.
M. ATAHARUL ISLAM, MONZUR HOSSAIN
core  

The Fuzzy Linear Regression

Asia Pacific Journal of Mathematics, 2020
Esmail Hassan Abdullatif Al-Sabri
doaj   +1 more source

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Construction of exact simultaneous confidence bands In multiple linear regression with predictor variables constrained In an ellipsoidal region

, 2008
A simultaneous confidence band provides useful information on the plausible range of the unknown regression model. Construction of a simultaneous confidence band has a history going back to Working and Hotelling (1929) and is often a hard problem when ...
Liu, Wei, Liu, W., Lin, S., Lin, Shan
core  

On Robustness of Resampling-Estimators for Linear Regression Models

The application of the resampling-approach to the linear regression model analysis is considered. The mean square estimators are known to be the best estimators in case of regression model without nuisance observations.
Fiošina, Jeļena, Andronovs, Aleksandrs
core   +1 more source